Transformers
Safetensors
English
t5
text2text-generation
text-summarization
Generated from Trainer
text-generation-inference
Instructions to use agentlans/text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/text-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("agentlans/text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("agentlans/text-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_loss": 1.7977033853530884, | |
| "eval_runtime": 2.6931, | |
| "eval_samples": 1000, | |
| "eval_samples_per_second": 371.32, | |
| "eval_steps_per_second": 46.415 | |
| } |